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Book synopsis

Emotion Recognition Using Speech Features provides coverage of emotion-specific features present in speech. The author also discusses suitable models for capturing emotion-specific information for distinguishing different emotions. The content of this book is important for designing and developing natural and sophisticated speech systems. §In this Brief, Drs. Rao and Koolagudi leads a discussion of how emotion-specific information is embedded in speech and how to acquire emotion-specific knowledge using appropriate statistical models. Additionally, the authors provide information about exploiting multiple evidences derived from various features and models. The acquired emotion-specific knowledge is useful for synthesizing emotions. Features includes discussion of: Global and local prosodic features at syllable, word and phrase levels, helpful for capturing emotion-discriminative information; Exploiting complementary evidences obtained from excitation sources, vocal tract systems and prosodic features in order to enhance the emotion recognition performance; Proposed multi-stage and hybrid models for improving the emotion recognition performance. §This brief is for researchers working in areas related to speech-based products such as mobile phone manufacturing companies, automobile companies, and entertainment products as well as researchers involved in basic and applied speech processing research.

Book details

Book category Books in English Technology, engineering, agriculture Other technologies & applied sciences Applied optics

• Full title: Emotion Recognition using Speech Features
• Author: K. Sreenivasa Rao, Shashidhar G. Koolagudi
• Language: English
• Binding: Paperback
• Number of pages: 124
• EAN: 9781461451426
• ISBN: 1461451426
• ID: 01428210
• Publisher: Springer-Verlag New York Inc.
• Weight: 2175 g
• Dimensions: 235 × 155 × 8 mm
• Date of publishing: 07. November 2012

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